Alain Fernando Novell
About Alain Fernando Novell
Alain Fernando Novell is a Data Engineering Lead based in Ciudad de Buenos Aires, Argentina, with extensive experience in data engineering and analysis. He has worked for notable companies including Factored, Prisma, and Bidcom.com.ar, and holds degrees in Computer Engineering and Information Systems.
Current Role at Factored
Alain Fernando Novell serves as the Data Engineering Lead at Factored, a position he has held since 2021. In this role, he is responsible for overseeing data engineering projects and leading a team to optimize data processes. His work focuses on enhancing data efficiency and supporting data-driven decision-making within the organization.
Previous Experience at Divbrands
Before joining Factored, Alain worked at Divbrands as Jefe técnico for eight months in 2021. His role involved technical leadership, where he contributed to the development and implementation of data solutions in Ciudad de Buenos Aires, Provincia de Buenos Aires, Argentina.
Experience as Data Engineer at Prisma
Alain was employed as a Data Engineer at Prisma from 2020 to 2021. During this year-long tenure, he focused on data management and engineering tasks, contributing to the company's data infrastructure in Ciudad de Buenos Aires, Provincia de Buenos Aires, Argentina.
Education and Training in Data Engineering
Alain completed his studies in Data Engineering at Udacity in 2020, where he focused on developing skills in data management and analytics over a five-month period. He also holds a degree in Ingeniería en Sistemas de Información from Universidad Tecnológica Nacional, which he obtained from 2012 to 2016.
Technical Skills and Projects
Throughout his career, Alain has demonstrated expertise in optimizing PostgreSQL data warehouses to improve efficiency for data scientists. He has automated the gathering of various data types, including fuel sales and currency exchange rates, utilizing tools such as Airflow and Selenium. His technical skills support the creation of dashboards and enhance data accessibility.